Li Shao
Zhong Xi Yi Jie He Xue Bao. 2007 Sep;5(5):489-93. doi: 10.3736/jcim20070501.
The ZHENG (syndrome of traditional Chinese medicine) oriented effects and the multiple-targets' mechanism are the main challenges encountered by recent researches for Chinese herbal formula. Using methods of bioinformatics and systems biology, we proposed a biological network-based framework for understanding the mechanism of Chinese herbal formula, and reviewed our studies under this framework which aimed to explore the relationship between Chinese herbal formula and corresponding ZHENGs, as well as the synergism of herbal combinations. These studies include the network construction for cold or heat ZHENG and its relationship with herbal formula of hot or cold nature, the biological network construction of angiogenesis, and the network regulation-based emergent property of an herbal combination with anti-angiogenesis synergism extracting from the cold formula. It is shown that the ZHENG-oriented effects and the herbal synergism can be nicely explicated by such network-based approaches. Thus, the network-based drug combination discovery, as well as the "traditional Chinese medicine bioinformatics (TCMB)" and "TCM computational systems biology" combining with computational and experimental approaches, is conceivable and can open a new avenue for understanding Chinese herbal formula.
以证为导向的效应和多靶点作用机制是近年来中药复方研究面临的主要挑战。我们运用生物信息学和系统生物学方法,提出了一个基于生物网络的框架来理解中药复方的作用机制,并回顾了在此框架下旨在探索中药复方与相应证之间的关系以及中药配伍协同作用的研究。这些研究包括寒证或热证的网络构建及其与寒药或热药复方的关系、血管生成的生物网络构建,以及从寒方中提取的具有抗血管生成协同作用的中药配伍基于网络调控的涌现特性。结果表明,基于网络的方法能够很好地解释以证为导向的效应和中药配伍协同作用。因此,基于网络的药物组合发现,以及结合计算和实验方法的“中医生物信息学(TCMB)”和“中医计算系统生物学”是可行的,并且能够为理解中药复方开辟一条新途径。